Spherical Warping Layer
In order to evaluate the performance of the PanoDepth stereo matching module with the novel Spherical Warping Layer (SWL), we compare it to the state-of-the-art stereo matching approaches, PSMNet [1]} and 360-SD Net [2]}, with ground truth up-down 360 stereo pair as input on the Omnidirectional Stereo Dataset [3]}.
In the experiment, we use the officially released code of both approaches, and convert the output disparity into depth for evaluation. We set the number of depth hypothesis planes to 64 to ensure fair and consistent comparison.
We can see from Table REF  that our proposed stereo matching method with SWL outperforms PSMNet [1]} and 360-SD Net [2]}, even with one-level setting. Moreover, by adding SWL, our one-level setting outperforms the one without SWL (identical to PSMNet[1]}) by \(47\%\)  in terms of Abs Rel. with the same 64 sampling planes.
Qualitative illustrations of the effectiveness of SWL is shown in Figure REF .
